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Papers Benchmarks Datasets Tasks

Yelp dataset and benchmarks – Page 7 · SOTA2 Research

Research Datasets

Yelp

Benchmarks

Task NameDataset NameSOTA MethodSort

Task NameDataset NameSOTA ResultTrendResults

Node Anomaly Detection

Yelp (semi-supervised)

68.69AUPRC

10

Future link prediction

Yelp w/ OOD

0.773AUC

10

Future link prediction

Yelp w/o OOD

0.794AUC

10

Node Classification

Yelp

137.1Avg Runtime (ms)

10

Sentiment Analysis

Yelp original (test)

98.3Accuracy

10

Vertex Classification

Yelp (test)

34.64Accuracy

10

Opinion Summarization

Yelp (test)

33ROUGE-1

10

Sentiment Classification

Yelp 2014

69.2Accuracy

10

Conversational Recommendation

Yelp (test)

57Success Rate

10

Candidate Generation

Yelp

52.2Retrieval Coverage

9

Yelp

82.68AUC

9

Synthetic Network Generation

Yelp friendship network

9.35Triangle Ratio (10^-4)

9

Top-K Recommendation

Yelp 2018 (test)

6.95Recall@10

9

Semi-supervised Regression

Yelp

0.549MAE

9

Yelp InstructRec retrospective (test)

58.7HR@1

9

Sequential Recommendation

Yelp

70.33HR@5

9

Yelp 2018

95.2AUC

9

Generative Recommendation

Yelp OOD 2018

1.53H@10

9

Multi-Objective Recommendation

Yelp (offline)

0.681Relevance

9

Yelp N=20 (test)

36.2Hit Rate @1

9

Collaborative Filtering

Yelp 2018

4.9HR@10

9

Yelp (test)

96Sentiment Accuracy

9

Topic Coherence

Yelp

2.84Rating

8

POI Recommendation

Yelp (test)

0.07Precision@5

8

Recommender Systems

Yelp

7.39Recall@10

8

Page 7 of 13

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